Dataset contain the observations on nine quantitative traits were taken on 10 random plants in each plot for plant height (cm), panicle length (cm), panicle diameter (cm), number of productive tillers plant-1, number of nodes plant-1, leaf sheath length (cm), leaf blade length (cm), leaf blade width (cm) and 1000-grain weight (g). Time to 50% fl ower was recorded on plot basis when the main panicles of 50% of the plants in the plots had full stigma emergence. Data were also taken on 16 other traits. These included seedling color, panicle exsertion, panicle tip sterility, node pubescence, node pigmentation, internode pigmentation, leaf sheath pubescence, anther color, glume pigmentation, presence/absence of bristles in panicle, and bristle color for which data were recorded on the basis of visual assessment of individual plants (or parts of plants) within a plot (VS); or it was based on visual assessment of group of plants (or parts of plants) in a plot (VG) for traits such as plant growth habit, panicle shape, panicle density, seed color and seed shape. The mean plot values of the quantitative traits measured were subjected to analysis of variance for each season as well across the two seasons following split-plot design.

Dataset contain the observations on nine quantitative traits were taken on 10 random plants in each plot for plant height (cm), panicle length (cm), panicle diameter (cm), number of productive tillers plant-1, number of nodes plant-1, leaf sheath length (cm), leaf blade length (cm), leaf blade width (cm) and 1000-grain weight (g). Time to 50% fl ower was recorded on plot basis when the main panicles of 50% of the plants in the plots had full stigma emergence. Data were also taken on 16 other traits. These included seedling color, panicle exsertion, panicle tip sterility, node pubescence, node pigmentation, internode pigmentation, leaf sheath pubescence, anther color, glume pigmentation, presence/absence of bristles in panicle, and bristle color for which data were recorded on the basis of visual assessment of individual plants (or parts of plants) within a plot (VS); or it was based on visual assessment of group of plants (or parts of plants) in a plot (VG) for traits such as plant growth habit, panicle shape, panicle density, seed color and seed shape. The mean plot values of the quantitative traits measured were subjected to analysis of variance for each season as well across the two seasons following split-plot design.

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Terms of Use

These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

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Terms of Use

These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.